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Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds

Bajorath, J. (author)
Chávez-Hernández, A. L. (author)
Duran-Frigola, M. (author)
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Fernández-de Gortari, E. (author)
Gasteiger, J. (author)
López-López, E. (author)
Maggiora, G. M. (author)
Medina-Franco, J. L. (author)
Méndez-Lucio, O. (author)
Mestres, J. (author)
Miranda-Quintana, R. A. (author)
Oprea, Tudor I (author)
Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för reumatologi och inflammationsforskning,Institute of Medicine, Department of Rheumatology and Inflammation Research
Plisson, F. (author)
Prieto-Martínez, F. D. (author)
Rodríguez-Pérez, R. (author)
Rondón-Villarreal, P. (author)
Saldívar-Gonzalez, F. I. (author)
Sánchez-Cruz, N. (author)
Valli, M. (author)
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 (creator_code:org_t)
2022-12-02
2022
English.
In: Journal of Cheminformatics. - : Springer Science and Business Media LLC. - 1758-2946. ; 14:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • We report the main conclusions of the first Chemoinformatics and Artificial Intelligence Colloquium, Mexico City, June 15–17, 2022. Fifteen lectures were presented during a virtual public event with speakers from industry, academia, and non-for-profit organizations. Twelve hundred and ninety students and academics from more than 60 countries. During the meeting, applications, challenges, and opportunities in drug discovery, de novo drug design, ADME-Tox (absorption, distribution, metabolism, excretion and toxicity) property predictions, organic chemistry, peptides, and antibiotic resistance were discussed. The program along with the recordings of all sessions are freely available at https://www.difacquim.com/english/events/2022-colloquium/.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Reumatologi och inflammation (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Rheumatology and Autoimmunity (hsv//eng)

Keyword

ADME profile
Antibiotic resistance
Artificial intelligence
Career development
Drug discovery
Ligand-based drug design
Machine learning
Natural products
Peptides
Structure-based drug design
Virtual screening

Publication and Content Type

ref (subject category)
art (subject category)

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